AI ML Engineer

HuntingCube; Delhi; Presencial; INR 1.500.000 - 2.100.000; Jornada completa

Descripción de la vacante

HuntingCube invites applications for an AI/ML Engineer to design, train, and refine AI models for diverse use cases, including text summarization and image matching. You will work with NLP, computer vision, and predictive analytics projects, applying open-source and cloud frameworks to production systems.

The role requires hands-on model development, feature engineering, and collaboration with data science teams to ensure robust, responsible AI solutions and smooth integration with existing

Formación

• 4–7 years of hands-on experience in developing and fine-tuning AI/ML models.
• Experience in NLP, computer vision, or predictive analytics projects.
• Demonstrated experience implementing AI solutions using open-source or cloud frameworks.

Responsabilidades

• Develop, train, and optimize AI/ML models for use cases such as text summarization, image matching, and speech recognition.
• Implement feature engineering pipelines and data pre-processing modules.
• Conduct experiments and document results to improve model accuracy and latency.
• Collaborate with Data Scientists and Engineers to deploy AI models in production.
• Perform error analysis and debugging to improve model stability.
• Ensure model outputs comply with Responsible AI guardrails and data protection norms.
• Support integration of AI components into existing government applications.

Conocimientos

Python

Pandas

SQL

NLP

Educación

B.Tech / M.Tech in CS/AI/DS

Professional ML/DL certification

Herramientas

PyTorch

TensorFlow

Keras

Hugging Face

Docker

SageMaker

MLflow

Git

Descripción del empleo

Job Description:

Job Description

Designation: AI / ML Engineer Educational Qualification:

• B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent.
• Professional certification in machine learning or deep learning preferred.
• Research papers, case studies, or significant open-source contributions(are prefered)
• Experience:
• 4—7 years of hands‑on experience in developing and fine‑tuning AI/ML models.
• Practical exposure to NLP, computer vision, or predictive analytics projects.
• Demonstrated experience in implementing AI solutions using open‑source or cloud frameworks. Key Responsibilities: 1. Develop, train, and optimize AI/ML models for various use cases such as text 2. summarization, image matching, and speech recognition. 3. Implement feature engineering pipelines and data pre‑processing modules. 4. Conduct experiments and document results to improve model accuracy and latency. 5. Collaborate with Data Scientists and Engineers to deploy AI models in production. 6. Perform error analysis and debugging to improve model stability. 7. Ensure model outputs comply with Responsible AI guardrails and data protection norms. 8. Support integration of AI components into existing government applications. Technical Competencies:
• Programming Languages: Python, CH, R.
• Frameworks: PyTorch, TensorFlow, Keras, Hugging Face.
• Libraries: pandas, NumPy, OpenCV, spaCy, Transformers.
• Data Handling: SQL, NoSQL, data augmentation techniques.
• Cloud & Tools: Docker, SageMaker, MLflow, Git.
• Evaluation Metrics: Fl, BLEU, ROUGE, AUC, precision-recall curves.

Required Skills

['Python', 'Pandas', 'SQL']

Additional Information

Use public JD while sourcing.